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Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management

Scrub vegetation is a valuable habitat and resource for wildlife, but if unmanaged can encroach and dominate adjacent habitats, reducing biodiversity value. A primary task in the management of terrestrial nature reserves in the UK is monitoring and controlling scrub. The methods used to monitor and...

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Autores principales: Vafidis, Jim, Lucksted, Isaac, Gall, Moyrah, Maxfield, Pete, Meakin, Kathy, Steer, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207421/
https://www.ncbi.nlm.nih.gov/pubmed/34141256
http://dx.doi.org/10.1002/ece3.7527
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author Vafidis, Jim
Lucksted, Isaac
Gall, Moyrah
Maxfield, Pete
Meakin, Kathy
Steer, Mark
author_facet Vafidis, Jim
Lucksted, Isaac
Gall, Moyrah
Maxfield, Pete
Meakin, Kathy
Steer, Mark
author_sort Vafidis, Jim
collection PubMed
description Scrub vegetation is a valuable habitat and resource for wildlife, but if unmanaged can encroach and dominate adjacent habitats, reducing biodiversity value. A primary task in the management of terrestrial nature reserves in the UK is monitoring and controlling scrub. The methods used to monitor and assess scrub cover are often basic, relying on qualitative assessment. Inaccurate assessments may fail to inform appropriate management of the habitats and lead to loss or degradation of important ecological features. Scrub can be monitored using UAV or satellite‐derived imagery, but it can be difficult to distinguish between other vegetation types without using high‐cost hyperspectral sensors. An alternative method using high‐resolution surface models from photogrammetric point clouds enables the isolation of vegetation types based on height. Scrub can be isolated from woodland, hedgerows, and tall ground vegetation. In this study, we calculate scrub cover using a photogrammetric point cloud modeling approach using UAVs. We illustrate the method with two case studies from the UK. The scrub cover at Daneway Banks, a calcareous grassland site in Gloucestershire, was calculated at 21.8% of the site. The scrub cover at Flat Holm Island, a maritime grassland in the Severn Estuary, was calculated at 7%. This approach enabled the scrub layer to be readily measured and if required, modeled to provide a visual guide of what a projected management objective would look like. This approach provides a new tool in reserve management, enabling habitat management strategies to be informed, and progress toward objectives monitored.
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spelling pubmed-82074212021-06-16 Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management Vafidis, Jim Lucksted, Isaac Gall, Moyrah Maxfield, Pete Meakin, Kathy Steer, Mark Ecol Evol Original Research Scrub vegetation is a valuable habitat and resource for wildlife, but if unmanaged can encroach and dominate adjacent habitats, reducing biodiversity value. A primary task in the management of terrestrial nature reserves in the UK is monitoring and controlling scrub. The methods used to monitor and assess scrub cover are often basic, relying on qualitative assessment. Inaccurate assessments may fail to inform appropriate management of the habitats and lead to loss or degradation of important ecological features. Scrub can be monitored using UAV or satellite‐derived imagery, but it can be difficult to distinguish between other vegetation types without using high‐cost hyperspectral sensors. An alternative method using high‐resolution surface models from photogrammetric point clouds enables the isolation of vegetation types based on height. Scrub can be isolated from woodland, hedgerows, and tall ground vegetation. In this study, we calculate scrub cover using a photogrammetric point cloud modeling approach using UAVs. We illustrate the method with two case studies from the UK. The scrub cover at Daneway Banks, a calcareous grassland site in Gloucestershire, was calculated at 21.8% of the site. The scrub cover at Flat Holm Island, a maritime grassland in the Severn Estuary, was calculated at 7%. This approach enabled the scrub layer to be readily measured and if required, modeled to provide a visual guide of what a projected management objective would look like. This approach provides a new tool in reserve management, enabling habitat management strategies to be informed, and progress toward objectives monitored. John Wiley and Sons Inc. 2021-05-01 /pmc/articles/PMC8207421/ /pubmed/34141256 http://dx.doi.org/10.1002/ece3.7527 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Vafidis, Jim
Lucksted, Isaac
Gall, Moyrah
Maxfield, Pete
Meakin, Kathy
Steer, Mark
Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management
title Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management
title_full Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management
title_fullStr Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management
title_full_unstemmed Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management
title_short Mapping scrub vegetation cover from photogrammetric point clouds: A useful tool in reserve management
title_sort mapping scrub vegetation cover from photogrammetric point clouds: a useful tool in reserve management
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207421/
https://www.ncbi.nlm.nih.gov/pubmed/34141256
http://dx.doi.org/10.1002/ece3.7527
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